Abstract
The hot deserts of the southwestern United States are experiencing increased frequency, severity, and duration of drought due to anthropogenic climate change. Plant communities in these deserts differ in composition, specifically the abundance of annual and perennial species, which could differentiate responses among these ecosystems to drought. Thus, identifying how these desert plant communities respond to prolonged, severe drought is critical to assess vulnerability to climate change. We measured the response of herbaceous plant communities to 4 years of experimentally imposed severe drought in Chihuahuan, Sonoran, and Mojave Desert sites in the southwestern US.
We imposed year‐round passive rain exclusion treatments with a 66% reduction in ambient rainfall for 4 years at two sites in each of the three US hot deserts. We measured plant species composition and abundance in treatment and control plots during the peak growing season.
Vegetative cover increased with seasonal precipitation at all six sites. Species richness and evenness varied in response to drought across all sites over the duration of the experiment. At three of the six sites, species richness increased with seasonal precipitation and at three sites species evenness decreased with seasonal precipitation.
In general, we found that community structure was linked to seasonal precipitation more so than cumulative drought in these herbaceous communities of southwestern US deserts, and that these desert communities are highly resilient following prolonged, extreme drought.
Keywords: Aridland, desert, drought, evenness, plant community, species richness
Using a 4‐year drought experiment in the hot deserts of the US, we found that herbaceous plant communities were more sensitive to seasonal precipitation than to the cumulative effects of drought.

INTRODUCTION
Climate change forecasts predict increased climate variability and occurrence of climate extremes, including drought (Cook et al. 2004, 2018; Dai 2013; IPCC 2014, 2022). Drylands, which cover ~35% of terrestrial ecosystems (Zhou & Yu 2025), are more sensitive to drought and disturbance than mesic ecosystems, making them exceptionally vulnerable to intensifying climatic perturbations caused by anthropogenic climate change (Huxman et al. 2004; Burrell et al. 2020; Maurer et al. 2020). Desert ecosystems, which are limited by water availability (Collins et al. 2014), are functionally and structurally different from more temperate ecosystems that experience limitation from light, nutrients, or other resources, more than precipitation (Maestre et al. 2016; Hoover et al. 2020; Wheeler et al. 2021; Berdugo et al. 2022). In the hot deserts of the US – Mojave, Sonoran, and Chihuahuan – increased drought frequency and intensity are likely to have long‐term consequences for plant community structure and ecosystem functioning (McAuliffe & Hamerlynck 2010; Gherardi & Sala 2015; Munson et al. 2016; Collins et al. 2020; Shaw et al. 2023). In contrast, deserts of the southwestern US have historically experienced high interannual climate variability, with frequent water limitations, which could result in higher vegetation resilience to drought (Gutzler & Robbins 2011; Maurer et al. 2020). Such unique characteristics underscore the need for coordinated cross‐site experiments to better understand how prolonged severe drought will affect the diversity and composition of desert ecosystems in the future.
Although studies on the effects of short‐term drought are somewhat common (e.g., Smith et al. 2024), the response of desert plant communities to cumulative, multiyear extreme drought events remains relatively unexamined. While many studies have demonstrated that net primary production (Huxman et al. 2004; Shaw et al. 2023) and plant species richness (Korell et al. 2021; Wheeler et al. 2021) are sensitive to changes in precipitation in deserts, prior studies had varied drought length and severity, thus confounding responses across ambient (both dry and wet) conditions. Much less is understood about how desert ecosystems will respond to multiple, consecutive years of severe drought – a climate pattern likely to occur more frequently under climate change. Given that drylands typically experience high interannual precipitation variability and drought frequency, these communities may be highly resilient to prolonged, extreme drought and might return quickly to pre‐drought conditions after the end of a drought period. For example, Wheeler et al. (2021) found that Sonoran Desert community structure recovered 1 year after a strong natural drought, indicating that these systems are adapted to periodic, short‐term drought. However, as the frequency of extreme climate events surpasses those in the historic record, desert ecosystems might be particularly vulnerable to multi‐year, extreme drought due to cumulative effects of prolonged water limitation (Cook et al. 2018).
The lifespan of species in desert plant communities may affect plant diversity and abundance responses to multi‐year drought. Plant communities in the hot deserts of the US include both long‐lived perennial species and short‐lived ephemerals. Annual plant species, that do not persist in the landscape, are more likely to respond to disturbance (Collins et al. 2008; Morris et al. 2008; Wilfahrt et al. 2021) as their existence is strongly dictated by soil moisture availability (Pickett & Bazzaz 1978; Larson et al. 2021). Annuals may employ drought avoidance or bet hedging strategies (Venable 2007; Hallmark et al. 2024). Hence, annuals may be highly sensitive to consecutive drought events relative to perennials as they do not maintain above‐ or belowground biomass during droughts. Perennial plants, however, may initially be less sensitive to short‐term drought as they maintain some above‐ and belowground biomass, although their response to drought may increase over multiple years of water stress (Chapin et al. 2004; Greaver et al. 2012; Slette et al. 2022, 2023; Yu et al. 2024). These contrasting strategies suggest that the abundance of annuals and perennials within herbaceous communities may determine community responses to prolonged drought. The intershrub zones of the Mojave and Sonoran deserts consist of winter annual species with life spans of just a few months (Brooks 2000). Species of these annual communities can remain dormant in the soil seed bank for many years and only germinate when environmental conditions are favourable (Clauss & Venable 2000; Gremer & Venable 2014). In contrast, Chihuahuan Desert grasslands are dominated by perennial grasses, which make up over 80% of aboveground production (Muldavin et al. 2008; Rudgers et al. 2018), and therefore productivity will be governed by the sensitivity of perennial grasses to precipitation variability (Báez et al. 2013; Munson et al. 2013; Collins et al. 2020). Thus, we hypothesize that drought should have a more immediate impact on both community structure and ecosystem function of annual communities in intershrub zones in the Mojave and Sonoran Deserts relative to perennial grasslands of the Chihuahuan Desert.
Despite the likely vulnerability of drylands to drought, few studies have experimentally imposed drought in the hottest and driest ecosystems of the southwestern US (Yahdjian et al. 2021). We imposed a severe experimental drought for four consecutive years at six sites in these hot deserts (Mojave, Sonoran, and Chihuahuan deserts). We assessed the effects of multiyear drought on vegetation cover, species richness, species evenness, and rank abundance change (Avolio et al. 2019). By using identical experimental protocols at each site, we could compare responses of distinct community assemblages, including communities dominated by perennial grasses and those composed of annuals. Our study addressed the following questions. (1) Do impacts of drought on vegetation structure (species abundance, richness, and evenness) increase over consecutive years of drought in desert plant communities? Prior research has shown that richness and abundance of vegetation decreases with drought, and we expected that consecutive years of drought would magnify this response, resulting in fewer species and abundance over the duration of the experiment. (2) Do perennial or annual‐dominated communities incur larger proportional losses of vegetation across multiple years of drought? We expected that communities comprised of mostly annual species would respond more negatively to multiple years of drought, as bet‐hedging strategies mean that many species in these communities avoid drought while persisting in seed banks. (3) Which aspects of desert plant community structure are sensitive to precipitation? Based on previous research, we expect that both species richness and total abundance will be strongly related to seasonal precipitation. In particular, we expected sites dominated by annual species to be more sensitive to seasonal precipitation since annual plant emergence is dependent upon prolonged soil moisture availability and seasonal climate.
MATERIAL AND METHODS
Site description
We established drought experiments at six sites, two each in Mojave, Sonoran, and Chihuahuan deserts (Fig. 1, Table 1). Although Mojave and Sonoran sites are in desert ecosystems with shrubs and cacti, here we focused on the herbaceous component, which has unique species interactions and phenology. This focus on herbaceous communities in the Mojave and Sonoran deserts also facilitates direct comparisons with the Chihuahuan desert grassland, where woody plants are rare.
Fig. 1.

(a) Map of site locations within the hot deserts of the US, and (b) cumulative precipitation (mm) over the 4 years of the experiment in control and drought treatment plots at each site. Dotted line denotes expected cumulative precipitation over 4 years if each year was exactly average (see Table 1 for mean annual precipitation). Due to drought conditions during the experiment, some sites received ambient precipitation well below mean annual precipitation. (c) Cumulative vegetation cover in control and drought treatment plots over the duration of the experiment expressed as the sum of total percentage vegetative cover over 4 years.
Table 1.
Summary of site information, including biotic and abiotic attributes: mean annual precipitation (MAP), mean annual temperature (MAT), elevation, peak growing season (peak season), total number of unique species in all plots in the pretreatment year (site species), and percentages vegetative cover composed of annuals and perennials in the pretreatment year in the herbaceous communities (% annual, % perennial).
| site | desert | MAP (mm) | MAT (°C) | elevation (m a.s.l.) | peak season | site species | % annual | % perennial |
|---|---|---|---|---|---|---|---|---|
| Granite cove | Mojave | 220 | 16 | 1128 | Spring | 15 | 100 | 0 |
| Molar junction | Mojave | 220 | 16 | 1128 | Spring | 34 | 99 | 1 |
| White tank | Sonoran | 212 | 24 | 400 | Spring | 19 | 100 | 0 |
| McDowell | Sonoran | 295 | 24 | 204 | Spring | 18 | 100 | 0 |
| Sevilleta mixed | Chihuahuan | 249 | 14 | 1669 | Fall | 20 | 0 | 100 |
| Sevilleta black | Chihuahuan | 234 | 14 | 1669 | Fall | 9 | 4 | 96 |
Both Mojave sites, Granite Cove and Molar Junction, are in the Granite Mountains Desert Research Center, near Kelso, CA. Granite Cove was established within a Larrea tridentata (creosote bush) shrubland, with the herbaceous community dominated by Schismus barbatus. Molar Junction was established 0.6 km away in a mixed species shrubland. Abundant species included the annuals Erodium cicutarium, Lotus strigosus, and Pectocarya heterocarpa (Ohlert et al. 2021). Mean annual precipitation is 220 mm and mean annual temperature is 16°C. These sites receive most of their precipitation in late winter and early spring, resulting in emergence of the annual community, which typically peaks around early May (Beatley 1969). Both sites are in alluvial fans with sandy, gravel soils.
The Sonoran sites, White Tank and McDowell, are at White Tank Mountain and McDowell Mountain regional parks, respectively, 72 km apart on the west and east edges of the Phoenix, AZ, metropolitan area. These research sites were established as part of the Central Arizona‐Phoenix Long Term Ecological Research project (CAP LTER; Wheeler et al. 2021; Shaw et al. 2023). Herbaceous communities at both Sonoran sites are dominated by annuals including Plantago ovata, Pectocarya recurvata, and Schismus arabicus. Mean annual precipitation varies from 212 mm at White Tank to 295 mm at McDowell, as the west side of this area receives substantially less precipitation than the east side. Mean annual temperature at both sites is 24°C. White Tank is in a bajada with sandy, aridisol soil, and McDowell is on a mesa, also on an aridisol.
The two Chihuahuan sites, Sevilleta Black and Sevilleta Mixed, are 4.3 km apart in the Sevilleta National Wildlife Refuge, NM, part of the Sevilleta Long Term Ecological Research program (SEV LTER). Both sites are in arid grasslands; the Sevilleta Black site is dominated by the perennial grass Bouteloua eriopoda (black grama), and the Sevilleta Mixed site is co‐dominated by perennial grasses B. eriopoda and B. gracilis (blue grama) with other C4 perennial grasses, including Pleuraphis jamesii and Sporobolus spp. Mean annual precipitation is 249 mm at Sevilleta Mixed and 234 mm at Sevilleta Black, mean annual temperature is 14°C at both sites. Soils at these sites are Typic Haplargids, with a sandy loam mixture that includes clay and calcium carbonate (Collins et al. 2017).
Experimental design
We established 14 2.5 m × 2.5 m plots at each site, with a permanent 1 m × 1 m vegetation sampling quadrat in the center of each plot. We located plots in inter‐shrub zones, defined as an area not included within the dripline of the shrub canopy. A few plots subsequently included small amounts of woody vegetation and cacti that colonized after the plots were established. Each site included seven unmanipulated control plots and seven plots under rainout shelters. We spatially paired the treatment and control plots in the Chihuahuan sites and randomly assigned them in the Sonoran and Mojave sites. We constructed rainout shelters with frames made of 41.3 mm hollow galvanized steel, ranging from 1 to 1.5 m in height, sloped from south to north to allow water to run down gutters while minimizing shading on plots. We made triangular gutters by bending clear, 11‐cm wide acrylic sheets that allow photosynthetically active radiation (PAR) to pass through (Yahdjian & Sala 2002). We fastened 15 of these to the top of each frame with 5.5 cm between gutters to reduce rainfall by 66% of ambient year‐round. This 66% rainfall reduction was designed to achieve a target 1 in 100‐year annual drought event, given average ambient conditions as in the International Drought Experiment (Lemoine et al. 2016; Knapp et al. 2017; Smith et al. 2024). We erected rainout shelters within a week following pretreatment data collection to ensure consistent year‐round drought treatments (Fig. S1): March 2019 at the Sonoran sites, April 2019 at the Mojave sites, and October 2018 at the Chihuahuan sites.
Precipitation data
We gathered daily precipitation data for the duration of the experiment using the Multi‐Source Weighted‐Ensemble Precipitation (MSWEP) tool, a global product that reports rainfall extrapolated from satellites and rain gauges (Beck et al. 2019). We calculated seasonal precipitation as the amount of precipitation recorded for 120 days prior to the sampling date. This approach accounts for the fact that seasonal precipitation is a better predictor of water conditions in these ecosystems than other time periods of precipitation, such as annual precipitation (Shaw et al. 2023).
Over the duration of the 4‐year experiment, ambient seasonal precipitation was occasionally well above normal, e.g., at White Tank and McDowell in the first treatment year where seasonal precipitation was 249 and 332 mm, respectively (Fig. 1b). The duration of the experiment also included an historic natural drought in the region (Williams et al. 2022) resulting in some exceptionally dry conditions in control plots. For example, the Mojave sites received just 3 mm precipitation in the preceding 120 days before the fourth year of data collection and just 18 mm in the third year of the experiment. These exceptionally dry ambient conditions resulted in many years in which precipitation in control plots was well below the planned 66% reduction from the long‐term average.
Data collection
We identified each species rooted within each quadrat and visually estimated abundance as percentage ground cover in the 1 m × 1 m quadrat for each species. Percentage cover used a continuous scale from 0.1% to 100% using only whole numbers for cover >1%. We chose data collection dates to coincide with peak biomass of each ecosystem. As the majority of rainfall is in winter and spring, peak biomass in the Mojave and Sonoran sites occurs in spring, when soils are moist and temperatures are favourable (Wheeler et al. 2021; Shaw et al. 2023). In the Chihuahuan sites, a heavy monsoon season during July and August results in a peak biomass season in autumn (Muldavin et al. 2008; Notaro et al. 2010). We therefore collected pretreatment community composition data in March 2019 at the Sonoran sites, April 2019 at the Mojave sites, and October 2018 at the Chihuahuan sites. We sampled vegetation composition annually at peak standing biomass for the next 4 years of the experiment.
Community structure
We calculated total cover by summing cover of each species within each quadrat. We classified species as either annual or perennial, excluding shrubs and cacti, and calculated cover as the sum of cover from all species classified as annuals or perennials. Species richness was defined as the number of unique species identified in each 1 m × 1 m quadrat. We calculated evenness using the EQ index which accounts for similarity of abundances between species based upon a rank‐abundance curve and is independent of species richness (Smith & Wilson 1996). We used the codyn package in R (v. 2.0.5;Hallett et al. 2016; Avolio et al. 2019) to quantify species gains as the number of new species in a plot from the previous year divided by the total number of unique species in both the current and previous year. Similarly, we quantified species losses as the number of species present in the previous year but not present during the current year, divided by the number of unique species in both years (Hallett et al. 2016; Avolio et al. 2019). Rank change is a measure of reordering of abundances among species in a plot. We again used the codyn package in R to calculate rank change as the absolute value of the average change in species ranks between current year and previous year for each replicate, divided by the total number of unique species in both time periods (Hallett et al. 2016; Avolio et al. 2019).
Statistical analyses
We measured effect size using the Relative Interaction Intensity index (RII):
where, t is the value of a community property in a drought treatment plot, and c is the value of that community property averaged across 5 years of control plots (pretreatment year +4 years during treatments; Armas et al. 2004). We averaged the abundance of control plots to account for interannual variability in ambient conditions although some sites experienced conditions throughout the study that were drier or wetter than average (Fig. 1b). This method creates a stable reference point that does not change from year to year. RII was thus calculated for each treatment plot in each year for five metrics of community structure: total cover, species richness, species evenness, perennial cover, and annual cover. RII is bounded between −1 and 1 and can incorporate situations in which the community values are 0, unlike other indices, such as log response ratio. The latter property of RII is especially important in low‐productivity desert plant communities which often have no seasonal growth, especially under extreme drought. We used the qt function in the stats package (v. 4.1.2; R Core Team 2021) to generate 95% confidence intervals for RIIs, and we considered responses to treatment as significant when the 95% confidence interval did not overlap 0.
To test whether drought effects on community metrics increased over the duration of the experiment, we created separate models for each site, testing the impact of drought treatment, the impact of experiment year, and the treatment by year interaction for three metrics (vegetative cover, species richness, species evenness) in the form of metric ~ treatment × experiment year. Plot was used as a random effect along with year in an autocorrelation structure to account for repeated measures of the same plots over time. In this model, the treatment by experiment year interaction term is the informative term for determining whether impacts of the drought treatment change over time.
We also tested whether communities changed more in drought or control plots at each site over the 4‐year experiment. We calculated change in richness and evenness as well as rank abundance change from the pretreatment year until year 4 for each plot using the RAC_change function in the codyn package (Avolio et al. 2019). We then created a separate model including all sites for each of the three metrics of change in the form of change metric ~ treatment × site. We then used the emmeans function in the emmeans package (v. 1.10; Lenth 2025) with the pairs function in the graphics package (v. 4.1.2; R Core Team 2021) to create contrasts of drought and control treatments for each site.
To test sensitivity of community metrics to precipitation regardless of treatment year, we created independent linear mixed effects models for each site and each of three community metrics (total cover, species richness, species evenness) using plot as a random effect with year in an autocorrelation structure to control for repeated measures over time. Sensitivity to seasonal precipitation was considered significant when the slope of the regression line had a P‐value < 0.05. For these analyses, we included both control and treatment plots in the same regression. Due to historically dry ambient conditions in some treatment years, conditions in control plots were sometimes drier than conditions in drought plots of wetter years.
We used R Statistical Software (v. 4.1.2; R Core Team 2021) for all analyses and the tidyverse (v. 1.3.1; Wickham et al. 2019) and plyr (v. 1.8.6; Wickham 2011) packages for data manipulation and visualization. The nlme package was used for mixed effects models (v. 3.1‐166; Pinheiro et al. 2024). This work was completed as part of the lead author's doctoral dissertation (Ohlert 2022).
RESULTS
Ambient and experimentally manipulated precipitation
Ambient precipitation over the duration of the study included many extreme dry years for some sites which resulted in remarkably dry conditions in drought treatment plots. The Mojave sites, Granite Cove and Molar Junction, received just 53, 67, and 93 mm in the second, third, and fourth years of the study compared to a mean annual precipitation of 220 mm (Table 1, Table S1). As these conditions resulted in a combined ambient rainfall <50% of expected over the 4‐year study (Fig. 1b), drought treatment plots received just 118 mm of rainfall cumulatively across all 4 years of the study, and in the driest year received just 8% of mean annual rainfall. Sonoran sites, White Tank and McDowell, had similarly dry conditions in 2021, receiving 203 mm and 186 mm of precipitation, respectively, but wet years in 2020 and 2023 resulted in precipitation received over the 4‐year study above average for these sites. The Sevilleta sites in the Chihuahuan Desert received almost exactly average precipitation over the 4 years of the study (243 mm at Sevilleta Mixed and 244 mm at Sevilleta Black; Fig. 1b), but this was attributable to dry conditions in 2022 balanced by wet conditions in 2020.
Community responses
Total vegetative cover decreased in response to drought at four sites in the first year, all six sites in the second, three sites in the third, and one site in the fourth year (Figs. 1c and 2a, Table S2). However, at the Molar Junction site in the Mojave Desert, cover in drought treatment plots was higher than the long‐term average in year 4 when precipitation was ~50% of average (Fig. 2a, Table S2). Species richness decreased at two sites in the first and second years, three sites in the third year, and one site in the fourth year (Fig. 2b, Table S2). Richness slightly increased in the fourth year at both the Molar Junction site in the Mojave Desert and the McDowell site in the Sonoran Desert compared to the long‐term average (Fig. 2b, Table S2). No site showed consistent changes in species richness across years. Evenness decreased at three sites in the first and fourth years, decreased at one site in the third year, and increased at four sites in the second year and one site in the third year (Fig. 2c, Table S2). Note that in the third year, precipitation was so low that the Mojave Desert sites did not have enough replicates to calculate confidence intervals for evenness as most plots contained only one species. No site exhibited consistent changes in species evenness over the entire study period.
Fig. 2.

Relative Interaction Intensity index (RII) for: (a) total vegetation cover, (b) species richness, and (c) species evenness in six desert plant communities in the US hot deserts for 4 years of drought treatment. Mean responses are shown with points and error bars are 95% confidence interval. Asterisks denote significant responses in which 95% confidence intervals do not overlap 0. Mean values and confidence intervals are shown in Table S2.
Cover of annual plants decreased in drought plots at four sites in the first and third years, all six sites in the second year, and none in the fourth year (Fig. 3a, Table S2). Conversely, annual cover increased at one site in the first year and two sites in the third and fourth years (Fig. 3a, Table S2). Perennial plants were present only at the two Chihuahuan Desert sites. Cover of perennial plants decreased in drought treatment plots at Sevilleta Mixed in the first year, at Sevilleta Black in the second year, and at both sites in the third and fourth years (Fig. 3b, Table S2).
Fig. 3.

Relative Interaction Intensity index (RII) for the cover of (a) annual species, and (b) perennial species in six desert plant communities in the US hot deserts for 4 years of drought treatment. Mean responses are shown with points and error bars are 95% confidence interval. Asterisks denote significant responses in which 95% confidence intervals do not overlap 0. RII was not calculated for perennial species in the Mojave and Sonoran Deserts in either treatment year due to a lack of data. Mean values and confidence intervals are shown in Table S2.
Cumulative effects of 4 years of drought treatment
The cumulative effects of drought treatment on community metrics over 4 years were evaluated by assessing the interaction between treatment and experiment year. In most cases, the drought treatment did not alter community responses relative to fluctuations seen in control communities experiencing ambient conditions over the study period (i.e., slopes of regressions over time did not differ between treatments). The effect of drought treatment on cover did not change over time at any site, although it decreased marginally at Sevilleta Mixed (P = 0.07; Fig. 4a, Table S3) and Granite Cove (P = 0.09; Fig. 4a, Table S3). No treatment × experiment year interactions were observed for species richness at any site (Fig. 4b, Table S3), and the interaction effect on evenness was only marginally significant at Molar Junction (P = 0.08; Fig. 4c, Table S3). Similarly, community metrics between treatment and control plots changed at some sites from pretreatment to the fourth year of the experiment. Species richness declined more in drought treatment plots in year 4 relative to pretreatment at Sevilleta Mixed (P = 0.002; Table S4) and marginally at Granite Cove (P = 0.07; Table S4), while changes in evenness did not differ by treatment at any site. Rank changes were larger in drought treatment plots only at Sevilleta Mixed (P = 0.04; Table S4).
Fig. 4.

Correlations with treatment year of (a) vegetation cover, (b) species richness, and (c) species evenness for each treatment separated by site. Year × treatment interactions were not significant for any site or metric. Results are presented in Table S3.
Sensitivity to seasonal precipitation
Total cover at all six sites was positively related to seasonal precipitation, with the relationship ranging from 0.4% mm−1 at Granite Cove to 0.1% mm−1 at Sevilleta Black (Fig. 5a, Table S5). Species richness was correlated with seasonal precipitation at just three sites, and was positively related at Granite Cove, Molar Junction, and Sevilleta Black (Fig. 5b, Table S5). At Granite Cove and Sevilleta Black, species richness increased by ca. 1 species for every additional 100 mm precipitation, while Molar Junction added about 6 species over the same increase in precipitation (Table S5). Evenness declined significantly with precipitation at three sites, Granite Cove (P = 0.04), Molar Junction (P = 0.002), and White Tank (P = 0.04), and marginally at McDowell (P = 0.07) and Sevilleta Black (P = 0.08; Fig. 5c, Table S5).
Fig. 5.

Correlations with seasonal precipitation of (a) vegetation cover, (b) species richness, and (c) species evenness for each treatment separated by site. Regression lines denote instances in which seasonal precipitation was a significant predictor of the metric. Further results are provided in Table S5.
DISCUSSION
We evaluated the effects of a 4‐year extreme drought on the structure of herbaceous plant communities in the hot deserts of the southwestern US. Contrary to our expectations, drought effects on plant communities were rarely cumulative, but were strongly influenced by precipitation in the growing season, irrespective of previous year's rainfall. Strong regional drought during the study period resulted in extremely dry ambient conditions which magnified the drought treatment effects, especially in the Mojave Desert. Overall, vegetative cover, species richness, and species evenness were more strongly related to seasonal precipitation than to duration of the drought treatment. As aridity and instances of drought in the southwestern US. are expected to increase this century due to climate change, herbaceous plant communities of these deserts will likely experience lower vegetation cover and species richness.
Decline of perennial species in the Chihuahuan Desert
Our results add to a growing body of evidence showing that desert communities dominated by perennial grasses are particularly sensitive to prolonged drought. Perennial cover in the Chihuahuan Desert was consistently negatively impacted by the drought treatment across the duration of the experiment, consistent with previous studies that documented the sensitivity of dominant perennial grasses in this region to prolonged dry conditions (Báez et al. 2013; Ladwig et al. 2014; Collins et al. 2020; Yu et al. 2024). The response of annual species in the Chihuahuan Desert shifted from negative to positive over the duration of the treatment, which might suggest that subdominant annual species in these ecosystems are co‐limited by water availability and competition with dominant perennials (Ning et al. 2024). This dynamic between dominant perennial grasses and subordinate species has been documented in previous studies in the Chihuahuan Desert (Peters & Yao 2012). While decreases in the abundance of dominant species may promote subordinate species, some evidence suggests that drought can reduce the growth of dominant species without significantly affecting overall plant diversity (Báez et al. 2013). However, dominant grasses play a critical role in ecosystem function, and their loss cannot easily be compensated for by subdominant species (Smith & Knapp 2003). As drought frequency increases in the Chihuahuan Desert, the negative impacts on dominant perennial grasses are likely to reduce vegetative cover, increase the size of areas of unvegetated soil, and lead to a reordering of dominance, from perennial grasses to shorter‐lived species.
Seasonal precipitation altered community structure
Community structure was generally sensitive to seasonal precipitation, especially total cover which was sensitive to precipitation at all six sites, and this consistent sensitivity to water availability is well documented (Huxman et al. 2004; Maurer et al. 2020). Annual forbs play a novel role in some desert ecosystems through delayed germination while awaiting favourable abiotic conditions, often when seasonal rainfall is above a threshold for germination (Cayan et al. 1999; Venable & Pake 1999; Bowers 2005; Venable 2007; Gremer & Venable 2014). Species richness positively correlated with seasonal precipitation at the two Mojave Desert sites and one Chihuahuan Desert site. Although recent research in temperate grasslands of North America shows that drought manipulation might have no effect on species richness (Castillioni et al. 2020; Batbaatar et al. 2021), our results are similar to those of a recent meta‐analysis, demonstrating that drought effects on species richness are highest in the more arid environments (Korell et al. 2021). Loss of aboveground vegetation will likely incur a commensurate decline in richness (Mittelbach et al. 2001) and, therefore, much of the declines in species richness observed here may be attributable to loss of total vegetation cover. Similar drought manipulation studies in annual communities of Mediterranean shrublands found that drought did not directly affect species richness (Tielbörger et al. 2014), but changed the slope of the relationship between species richness and aboveground net primary production (Alon & Sternberg 2019).
Previous studies on drought impacts on evenness reported either no effects (Batbaatar et al. 2021) or positive effects (Alon & Sternberg 2019; Castillioni et al. 2020). Dominant species are known to be particularly important drivers of ecosystem function in response to drought (Báez et al. 2013; Hoover et al. 2014; Knapp et al. 2020; Smith et al. 2020), therefore, increased evenness and a commensurate decrease in dominance might suggest an overall decline in ecosystem function. Aboveground production in the Chihuahuan Desert is driven by dominant perennial grasses, and the herbaceous communities of the Mojave and Sonoran Deserts are dominated by productive, non‐native annual grasses (Ohlert et al. 2021; Wheeler et al. 2021). Consequently, this dynamic of drought‐induced increased evenness, and thus decreased dominance, could inhibit the spread of non‐native species in the Mojave and Sonoran Deserts while impairing native dominant species in the Chihuahuan Desert that are critical for ecosystem functioning (Rudgers et al. 2018; Collins et al. 2020). Thus, increases in evenness could have divergent ecological consequences, impacting ecosystem function by constraining invasive species in some regions, while impairing key native species in others.
Lack of cumulative effects after passive manipulation
One potential explanation for the lack of cumulative effects observed in our study is that annual communities, such as those of the Mojave and Sonoran Deserts, may be less sensitive to abiotic and biotic factors that typically drive cumulative drought effects. Previous studies suggest that community changes in response to perturbations increase over time (Smith et al. 2009; Seabloom et al. 2021). As perturbations occur over consecutive years, their impacts on communities often accumulate (Felton et al. 2021), and in the context of drought, this accumulation may be driven by abiotic factors, such as soil moisture influenced by precipitation from previous years (Cook et al. 2009; Sala et al. 2012), and biotic factors, such as litter accumulation (Chen et al. 2024) or cumulative physiological stress (Vandegeer et al. 2020). In the Sonoran Desert, for example, annual communities show stronger associations with recent precipitation than with precipitation from the previous season, with aboveground net primary production (ANPP) and taxonomic diversity more closely tied to current‐year precipitation rather than lag effects from prior years (Wheeler et al. 2021; Shaw et al. 2023). Not only are these annual plant communities short lived, but they are also adapted to stochastic resource availability.
The historically dry ambient conditions in the southwestern US during the second and third years of the experiment (mid‐2020 through 2022) likely contributed to the lack of cumulative effects of drought observed in this study. Extreme drought in the middle years, followed by less extreme conditions in the fourth year, may have created modal dynamics in community metrics, making it difficult to capture clear cumulative effects over the course of just 4 years. For instance, at the McDowell site in the Sonoran Desert, the highest species richness was recorded in the first and fourth years for both control and treatment plots, suggesting that treatment effects had little persistent influence on species richness throughout the experiment. This highlights a limitation of the passive manipulation approach used in this experiment and in the broader International Drought Experiment. Passive manipulation is often employed in drought studies due to its cost‐effectiveness, as active control of precipitation requires substantially more infrastructure (Fraser et al. 2013; Knapp et al. 2017). Although passive manipulation ensures consistent comparisons across sites under near‐average conditions, the inclusion of more sites in cross‐site comparisons increases the likelihood that some sites will experience rainfall far outside the historical mean. Additionally, as the duration of the experiment increases, the likelihood of encountering precipitation conditions well outside of historic average at more sites also rises.
CONCLUSION
Our cross‐site experimental drought treatments demonstrate that drought impacts on desert plant communities in the southwestern US are influenced more by annual precipitation than by the cumulative effects of prolonged drought. While drought generally reduced plant cover and species richness, the variation in seasonal rainfall played a key role in shaping these responses. In the Chihuahuan Desert, perennial grasses consistently declined during the drought years, while annual species increased in abundance once perennial cover was reduced. This shift suggests that annuals and perennials compete for resources in this system and drought can favour annual species. In the Mojave and Sonoran Deserts, we did not see clear cumulative drought effects, likely because of the irregularity of rainfall patterns during the study. However, cover and richness at several sites rebounded with higher rainfall after several years of drought. These findings highlight the challenges of studying drought impacts using passive manipulation, especially when precipitation patterns are highly variable. Overall, as droughts in the southwestern US are expected to become more frequent and intense due to climate change, our results suggest that desert ecosystems will face declines in perennial species and increased temporal variability, but unlike desert grasslands dominated by perennial grasses, systems dominated by annual species may be highly resilient following multi‐year severe droughts.
AUTHOR CONTRIBUTIONS
TO and SLC conceived of the study and wrote the first draft of the manuscript. TO performed data analyses and data management. All authors contributed to implementation of the experiment, data collection, and editing of the manuscript.
Supporting information
Data S1.
Fig. S1. Photos of drought treatment shelters at the experiment sites. (a) Granite Cove, (b) Molar Junction, (c) White Tank, (d) McDowell, (e) Sevilleta Mixed, and (f) Sevilleta Black.
Table S1. Mean annual precipitation and annual precipitation for the four treatment years for each of the six study sites. Annual precipitation defined as the precipitation from the 365 day prior to data collection.
Table S2. Results of RII for total vegetative cover, grass cover, forb cover, annual species cover, perennial species cover, species richness, species evenness, species gains, species losses, and rank change. Results are considered significant when the upper and lower boundary of the 95% confidence interval does not overlap 0. Significant results are bolded. NA denotes where not enough data were available to calculate RII. These results are visualized in Figs. 2 and 3.
Table S3. Model summaries of regressions of treatment over years of experiment with community metrics as the response variable (Metric column) for each site (Site column). Term column denotes model terms including the intercept, treatment, number of years of the experiment, and the interaction between treatment and experiment year. Estimate, standard error, degrees of freedom, and P‐values are reported respectively. Marginal R 2 (R 2m) and combined R 2 (R 2c) for each model are reported as well. Significant terms (P < 0.05) are bolded.
Table S4. Comparison of changes from pretreatment to year four between drought and control plots at each site. Positive estimate values mean that richness and evenness changed more positively in drought treatment plots and that rank abundance changed more in drought treatment plots than in control plots. Therefore, estimates for richness and evenness change could be positive even if those values decreased from pretreatment to year four as long as they decreased less in drought treatment plots than control plots. Bolded values indicate that change for drought and treatment plots was significantly different (P < 0.05) for the given site.
Table S5. Results of regression models testing the relationship between seasonal precipitation and community metrics. Metric column denotes which of three metrics was used as the response variable: total vegetative cover, species richness (SR), and species evenness. R 2m denotes the marginal R 2 of the mixed effects model and R 2c denotes the combined R 2.
Acknowledgements
We thank all those who contributed to fieldwork for this project, including M. Ohlert, J. Ohlert, A. Vojdani, J. McLaughlin, Q. Stewart, S. Holland, S. Wittlinger, T. La Doux, and J. Andre. In addition, we received funding from the Sevilleta LTER (DEB‐1655499), Central Arizona‐Phoenix (CAP) LTER (DEB‐2224662), and grants from the University of New Mexico that facilitated this project.
Editor: C. Werner
References
- Alon M., Sternberg M. (2019) Effects of extreme drought on primary production, species composition and species diversity of a Mediterranean annual plant community. Journal of Vegetation Science, 30, 1045–1061. [Google Scholar]
- Armas C., Ordiales R., Pugnaire F.I. (2004) Measuring plant interactions: a new comparative index. Ecology, 85, 2682–2686. [Google Scholar]
- Avolio M.L., Carroll I.T., Collins S.L., Houseman G.R., Hallett L.M., Isbell F., Koerner S.E., Komatsu K.J., Smith M.D., Wilcox K.R. (2019) A comprehensive approach to analyzing community dynamics using rank abundance curves. Ecosphere, 10, e02881. [Google Scholar]
- Báez S., Collins S.L., Pockman W.T., Johnson J.E., Small E.E. (2013) Effects of experimental rainfall manipulations on Chihuahuan Desert grassland and shrubland plant communities. Oecologia, 172, 1117–1127. [DOI] [PubMed] [Google Scholar]
- Batbaatar A., Carlyle C.N., Bork E.W., Chang S.X., Cahill J.F., Jr. (2021) Multi‐year drought alters plant species composition more than productivity across northern temperate grasslands. Journal of Ecology, 10, 197–209. [Google Scholar]
- Beatley J.C. (1969) Biomass of desert winter annual plant populations in southern Nevada. Oikos, 20, 261–273. [Google Scholar]
- Beck H.E., Wood E.F., Pan M., Fisher C.K., Miralles D.M., van Dijk A.I.J.M., McVicar T.R., Adler R.F. (2019) MSWEP V2 global 3‐hourly 0.1° precipitation: methodology and quantitative assessment. Bulletin of the American Meteorological Society, 100, 473–500. [Google Scholar]
- Berdugo M., Vidiella B., Solé R.V., Maestre F.T. (2022) Ecological mechanisms underlying aridity thresholds in global drylands. Functional Ecology, 36, 4–23. [Google Scholar]
- Bowers J.E. (2005) Effects of drought on shrub survival and longevity in the northern Sonoran Desert1. The Journal of the Torrey Botanical Society, 132, 421–431. [Google Scholar]
- Brooks M.L. (2000) Schismus arabicus Nees, Schismus barbatus (L.) Thell. Invasive plants of California's wildlands, 287–291.
- Burrell A.L., Evans J.P., De Kauwe M.G. (2020) Anthropogenic climate change has driven over 5 million km 2 of drylands towards desertification. Nature Communications, 11, 3853. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Castillioni K., Wilcox K., Jiang L., Luo Y., Jung C.G., Souza L. (2020) Drought mildly reduces plant dominance in a temperate prairie ecosystem across years. Ecology and Evolution, 10, 6702–6713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cayan D.R., Redmond K.T., Riddle L.G. (1999) ENSO and hydrologic extremes in the western United States. Journal of Climate, 12, 2881–2893. [Google Scholar]
- Chapin F.S., Callaghan T.V., Bergeron Y., Fukuda M., Johnstone J.F., Juday G., Zimov S.A. (2004) Global change and the boreal forest: thresholds, shifting states or gradual change? Ambio, 33, 361–365. [DOI] [PubMed] [Google Scholar]
- Chen W., Jiang L., Jia R., Tang B., Jiang H., Wang Y., Lu X., Su J., Bai Y. (2024) Plant litter loss exacerbates drought influences on grasslands. New Phytologist, 241, 142–153. [DOI] [PubMed] [Google Scholar]
- Clauss M.J., Venable D.L. (2000) Seed germination in desert annuals: an empirical test of adaptive bet hedging. The American Naturalist, 155, 168–186. [DOI] [PubMed] [Google Scholar]
- Collins S.L., Belnap J., Grimm N.B., Rudgers J.A., Dahm C.N., D'odorico P., Litvak M., Natvig D.O., Peters D.C., Pockman W.T., Sinsabaugh R.L. (2014) A multiscale, hierarchical model of pulse dynamics in arid‐land ecosystems. Annual Review of Ecology, Evolution, and Systematics, 45, 397–419. [Google Scholar]
- Collins S.L., Chung Y.A., Baur L.E., Hallmark A., Ohlert T.J., Rudgers J.A. (2020) Press–pulse interactions and long‐term community dynamics in a Chihuahuan Desert grassland. Journal of Vegetation Science, 31, 722–732. [Google Scholar]
- Collins S.L., Ladwig L.M., Petrie M.D., Jones S.K., Mulhouse J.M., Thibault J.R., Pockman W.T. (2017) Press–pulse interactions: Effects of warming, N deposition, altered winter precipitation, and fire on desert grassland community structure and dynamics. Global Change Biology, 23, 1095–1108. [DOI] [PubMed] [Google Scholar]
- Collins S.L., Suding K.N., Cleland E.E., Batty M., Pennings S.C., Gross K.L., Grace J.B., Gough L., Fargione J.E., Clark C.M. (2008) Rank clocks and plant community dynamics. Ecology, 89, 3534–3541. [DOI] [PubMed] [Google Scholar]
- Cook B.I., Mankin J.S., Anchukaitis K.J. (2018) Climate change and drought: from past to future. Current Climate Change Reports, 4, 164–179. [Google Scholar]
- Cook B.I., Miller R.L., Seager R. (2009) Amplification of the north American “dust bowl” drought through human‐induced land degradation. Proceedings of the National Academy of Sciences, 106, 4997–5001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cook E.R., Woodhouse C.A., Eakin C.M., Meko D.M., Stahle D.W. (2004) Long‐term aridity changes in the Western United States. Science, 306, 1015–1018. [DOI] [PubMed] [Google Scholar]
- Dai A. (2013) Increasing drought under global warming in observations and models. Nature Climate Change, 3, 52–58. [Google Scholar]
- Felton A.J., Knapp A.K., Smith M.D. (2021) Precipitation–productivity relationships and the duration of precipitation anomalies: an underappreciated dimension of climate change. Global Change Biology, 27, 1127–1140. [DOI] [PubMed] [Google Scholar]
- Fraser L.H., Henry H.A., Carlyle C.N., White S.R., Beierkuhnlein C., Cahill J.F., Jr. , Casper B.B., Cleland E., Collins S.L., Dukes J.S., Knapp A.K. (2013) Coordinated distributed experiments: an emerging tool for testing global hypotheses in ecology and environmental science. Frontiers in Ecology and the Environment, 11, 147–155. [Google Scholar]
- Gherardi L.A., Sala O.E. (2015) Enhanced interannual precipitation variability increases plant functional diversity that in turn ameliorates negative impact on productivity. Ecology Letters, 18, 1293–1300. [DOI] [PubMed] [Google Scholar]
- Greaver T.L., Sullivan T.J., Herrick J.D., Barber M.C., Baron J.S., Cosby B.J., Deerhake M.E., Dennis R.L., Dubois J.‐J.B., Goodale C.L., Herlihy A.T., Lawrence G.B., Liu L., Lynch J.A., Novak K.J. (2012) Ecological effects of nitrogen and sulfur air pollution in the US: What do we know? Frontiers in Ecology and the Environment, 10, 365–372. [Google Scholar]
- Gremer J.R., Venable D.L. (2014) Bet hedging in desert winter annual plants: Optimal germination strategies in a variable environment. Ecology Letters, 17, 380–387. [DOI] [PubMed] [Google Scholar]
- Gutzler D.S., Robbins T.O. (2011) Climate variability and projected change in the western United States: regional downscaling and drought statistics. Climate Dynamics, 37, 835–849. [Google Scholar]
- Hallett L.M., Jones S.K., MacDonald A.A.M., Jones M.B., Flynn D.F., Ripplinger J., Slaughter P., Gries C., Collins S.L. (2016) Codyn: an r package of community dynamics metrics. Methods in Ecology and Evolution, 7, 1146–1151. [Google Scholar]
- Hallmark A.J., Collins S.L., Litvak M.E., Rudgers J.A. (2024) Plant phenology predicts the stability of primary production in three ecosystems of the northern Chihuahuan Desert. Functional Ecology, 38, 2564–2575. [Google Scholar]
- Hoover D.L., Bestelmeyer B., Grimm N.B., Huxman T.E., Reed S.C., Sala O., Seastedt T.R., Wilmer H., Ferrenberg S. (2020) Traversing the wasteland: a framework for assessing ecological threats to drylands. Bioscience, 70, 35–47. [Google Scholar]
- Hoover D.L., Knapp A.K., Smith M.D. (2014) Contrasting sensitivities of two dominant C4 grasses to heat waves and drought. Plant Ecology, 215, 721–731. [Google Scholar]
- Huxman T.E., Snyder K.A., Tissue D., Leffler A.J., Ogle K., Pockman W.T., Sandquist D.R., Potts D.L., Schwinning S. (2004) Precipitation pulses and carbon fluxes in semiarid and arid ecosystems. Oecologia, 141, 254–268. [DOI] [PubMed] [Google Scholar]
- IPCC (2014) Climate change 2014: synthesis report. In: Pachauri R.K., Meyer L.A. (Eds), Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. IPCC, Geneva, Switzerland, pp 151. [Google Scholar]
- IPCC (2022) Climate change 2022: impacts, adaptation, and vulnerability. In: Pörtner H.‐O., Roberts D.C., Tignor M., Poloczanska E.S., Mintenbeck K., Alegría A., Craig M., Langsdorf S., Löschke S., Möller V., Okem A., Rama B. (Eds), Contribution of working group II to the sixth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK and New York, NY, USA, pp 3056. [Google Scholar]
- Knapp A.K., Avolio M.L., Beier C., Carroll C.J., Collins S.L., Dukes J.S., Fraser L.H., Griffin‐Nolan R.J., Hoover D.L., Jentsch A., Loik M.E. (2017) Pushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years. Global Change Biology, 23, 1774–1782. [DOI] [PubMed] [Google Scholar]
- Knapp A.K., Chen A., Griffin‐Nolan R.J., Baur L.E., Carroll C.J.W., Gray J.E., Hoffman A.M., Li X., Post A.K., Slette I.J., Collins S.L., Luo Y., Smith M.D. (2020) Resolving the dust bowl paradox of grassland responses to extreme drought. Proceedings of the National Academy of Sciences, 117, 22249–22255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Korell L., Auge H., Chase J.M., Harpole W.S., Knight T.M. (2021) Responses of plant diversity to precipitation change are strongest at local spatial scales and in drylands. Nature Communications, 12, 2489. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ladwig L.M., Collins S.L., Ford P.L., White L.B. (2014) Chihuahuan Desert grassland responds similarly to fall, spring, and summer fires during prolonged drought. Rangeland Ecology & Management, 67, 621–628. [Google Scholar]
- Larson J.E., Ebinger K.R., Suding K.N. (2021) Water the odds? Spring rainfall and emergence‐related seed traits drive plant recruitment. Oikos, 130, 1665–1678. [Google Scholar]
- Lemoine N.P., Sheffield J., Dukes J.S., Knapp A.K., Smith M.D. (2016) Terrestrial precipitation analysis (TPA): a resource for characterizing long‐term precipitation regimes and extremes. Methods in Ecology and Evolution, 7, 1396–1401. [Google Scholar]
- Lenth R. (2025) emmeans: estimated marginal means, aka least‐squares means. R package version 1.10.6‐090003. https://rvlenth.github.io/emmeans/
- Maestre F.T., Eldridge D.J., Soliveres S., Kéfi S., Delgado‐Baquerizo M., Bowker M.A., García‐Palacios P., Gaitán J., Gallardo A., Lázaro R., Berdugo M. (2016) Structure and functioning of dryland ecosystems in a changing world. Annual Review of Ecology, Evolution, and Systematics, 47, 215–237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maurer G.E., Hallmark A.J., Brown R.F., Sala O.E., Collins S.L. (2020) Sensitivity of primary production to precipitation across the United States. Ecology Letters, 23, 527–536. [DOI] [PubMed] [Google Scholar]
- McAuliffe J.R., Hamerlynck E.P. (2010) Perennial plant mortality in the Sonoran and Mojave deserts in response to severe, multi‐year drought. Journal of Arid Environments, 74, 885–896. [Google Scholar]
- Mittelbach G.G., Steiner C.F., Scheiner S.M., Gross K.L., Reynolds H.L., Waide R.B., Willig M.R., Dodson S.I., Gough L. (2001) What is the observed relationship between species richness and productivity? Ecology, 82, 2381–2396. [Google Scholar]
- Morris W.F., Pfister C.A., Tuljapurkar S., Haridas C.V., Boggs C.L., Boyce M.S., Bruna E.M., Church D.R., Coulson T., Doak D.F., Forsyth S. (2008) Longevity can buffer plant and animal populations against changing climatic variability. Ecology, 89, 19–25. [DOI] [PubMed] [Google Scholar]
- Muldavin E.H., Moore D.I., Collins S.L., Wetherill K.R., Lightfoot D.C. (2008) Aboveground net primary production dynamics in a northern Chihuahuan Desert ecosystem. Oecologia, 155, 123–132. [DOI] [PubMed] [Google Scholar]
- Munson S.M., Long A.L., Wallace C.S.A., Webb R.H. (2016) Cumulative drought and land‐use impacts on perennial vegetation across a north American dryland region. Applied Vegetation Science, 19, 430–441. [Google Scholar]
- Munson S.M., Muldavin E.H., Belnap J., Peters D.P.C., Anderson J.P., Reiser M.H., Gallo K., Melgoza‐Castillo A., Herrick J.E., Christiansen T.A. (2013) Regional signatures of plant response to drought and elevated temperature across a desert ecosystem. Ecology, 94, 2030–2041. [DOI] [PubMed] [Google Scholar]
- Ning S., Yan T., Luo W., Tao S., Zou X., Li Y., Shangguan Z., Wu Y., Zhang Z., He J.S. (2024) Aridity‐dependent resistance but strong resilience of grassland ANPP to naturally occurring precipitation extremes. Journal of Plant Ecology, 17, rtae084. [Google Scholar]
- Notaro M., Liu Z., Gallimore R.G., Williams J.W., Gutzler D.S., Collins S. (2010) Complex seasonal cycle of ecohydrology in the Southwest United States. Journal of Geophysical Research: Biogeosciences, 115(G4), 1–20. 10.1029/2010JG001382 [DOI] [Google Scholar]
- Ohlert T. (2022) Biodiversity and global change in terrestrial ecosystems. The University of New Mexico Digital Repository. digitalrepository.unm.edu/biol_etds/422
- Ohlert T., Hallmark A., Hamilton G., McLaughlin J., Patton M., Collins S. (2021) The impact of Schismus on biodiversity in Mojave Desert winter annual communities. Mojave Science Newsletter, 2021, 12–15. [Google Scholar]
- Peters D.P.C., Yao J. (2012) Long‐term experimental loss of foundation species: consequences for dynamics at ecotones across heterogeneous landscapes. Ecosphere, 3, art27. [Google Scholar]
- Pickett S.T.A., Bazzaz F.A. (1978) Germination of co‐occurring annual species on a soil moisture gradient. Bulletin of the Torrey Botanical Club, 105, 312–316. [Google Scholar]
- Pinheiro J., Bates D., R Core Team (2024) nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1‐166. https://CRAN.R‐project.org/package=nlme
- R Core Team (2021) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R‐project.org/
- Rudgers J.A., Chung Y.A., Maurer G.E., Moore D.I., Muldavin E.H., Litvak M.E., Collins S.L. (2018) Climate sensitivity functions and net primary production: a framework for incorporating climate mean and variability. Ecology, 99, 576–582. [DOI] [PubMed] [Google Scholar]
- Sala O.E., Gherardi L.A., Reichmann L., Jobbágy E., Peters D. (2012) Legacies of precipitation fluctuations on primary production: theory and data synthesis. Philosophical Transactions of the Royal Society, B: Biological Sciences, 367, 3135–3144. 10.1098/rstb.2011.0347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seabloom E.W., Adler P.B., Alberti J., Biederman L., Buckley Y.M., Cadotte M.W., Collins S.L., Dee L., Fay P.A., Firn J., Hagenah N. (2021) Increasing effects of chronic nutrient enrichment on plant diversity loss and ecosystem productivity over time. Ecology, 102, e03218. [DOI] [PubMed] [Google Scholar]
- Shaw J.A., Collins S.L., Ohlert T.J., Heavenrich H., Cook E., Wheeler M.M., Grimm N.B., Hall S.J. (2023) Seasonal rainfall, shrub cover and soil properties drive production of winter annuals in the northern Sonoran Desert. Ecosystems, 26, 1556–1572. [Google Scholar]
- Slette I.J., Blair J.M., Fay P.A., Smith M.D., Knapp A.K. (2022) Effects of compounded precipitation pattern intensification and drought occur belowground in a mesic grassland. Ecosystems, 25, 1–14. [Google Scholar]
- Slette I.J., Hoover D.L., Smith M.D., Knapp A.K. (2023) Repeated extreme droughts decrease root production, but not the potential for post‐drought recovery of root production, in a mesic grassland. Oikos, 2023, e08899. [Google Scholar]
- Smith B., Wilson J.B. (1996) A Consumer's guide to evenness indices. Oikos, 76, 70–82. [Google Scholar]
- Smith M.D., Knapp A.K. (2003) Dominant species maintain ecosystem function with non‐random species loss. Ecology Letters, 6, 509–517. [Google Scholar]
- Smith M.D., Knapp A.K., Collins S.L. (2009) A framework for assessing ecosystem dynamics in response to chronic resource alterations induced by global change. Ecology, 90, 3279–3289. [DOI] [PubMed] [Google Scholar]
- Smith M.D., Koerner S.E., Knapp A.K., Avolio M.L., Chaves F.A., Denton E.M., Dietrich J., Gibson D.J., Gray J., Hoffman A.M., Hoover D.L., Komatsu K.J., Silletti A., Wilcox K.R., Yu Q., Blair J.M. (2020) Mass ratio effects underlie ecosystem responses to environmental change. Journal of Ecology, 108, 855–864. [Google Scholar]
- Smith M.D., Wilkins K.D., Holdrege M.C., Wilfahrt P., Collins S.L., Knapp A.K., Sala O.E., Dukes J.S., Phillips R.P., Yahdjian L., Gherardi L.A. (2024) Extreme drought impacts have been underestimated in grasslands and shrublands globally. Proceedings of the National Academy of Sciences of the United States of America, 121, e2309881120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tielbörger K., Bilton M.C., Metz J., Kigel J., Holzapfel C., Lebrija‐Trejos E., Konsens I., Parag H.A., Sternberg M. (2014) Middle‐eastern plant communities tolerate 9 years of drought in a multi‐site climate manipulation experiment. Nature Communications, 5, 5102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vandegeer R.K., Tissue D.T., Hartley S.E., Glauser G., Johnson S.N. (2020) Physiological acclimation of a grass species occurs during sustained but not repeated drought events. Environmental and Experimental Botany, 171, 103954. [Google Scholar]
- Venable D.L. (2007) Bet hedging in a Guild of Desert Annuals. Ecology, 88, 1086–1090. [DOI] [PubMed] [Google Scholar]
- Venable D.L., Pake C.E. (1999) Population ecology of Sonoran Desert annual plants, The ecology of Sonoran Desert plants and plant communities. University of Arizona Press, Tucson, Arizona, USA, pp 115–142. [Google Scholar]
- Wheeler M.M., Collins S.L., Grimm N.B., Cook E.M., Clark C., Sponseller R.A., Hall S.J. (2021) Water and nitrogen shape winter annual plant diversity and community composition in near‐urban Sonoran Desert preserves. Ecological Monographs, 91, e01450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wickham H. (2011) The split‐apply‐combine strategy for data analysis. Journal of Statistical Software, 40, 1–29. [Google Scholar]
- Wickham H., Averick M., Bryan J., Chang W., McGowan L.D.A., François R., Grolemund G., Hayes A., Henry L., Hester J., Kuhn M. (2019) Welcome to the tidyverse. Journal of Open Source Software, 4, 1686. [Google Scholar]
- Wilfahrt P.A., Asmus A.L., Seabloom E.W., Henning J.A., Adler P., Arnillas C.A., Bakker J.D., Biederman L., Brudvig L.A., Cadotte M., Daleo P. (2021) Temporal rarity is a better predictor of local extinction risk than spatial rarity. Ecology, 102, e03504. [DOI] [PubMed] [Google Scholar]
- Williams A.P., Cook B.I., Smerdon J.E. (2022) Rapid intensification of the emerging southwestern north American megadrought in 2020–2021. Nature Climate Change, 12, 232–234. [Google Scholar]
- Yahdjian L., Sala O.E. (2002) A rainout shelter design for intercepting different amounts of rainfall. Oecologia, 133, 95–101. [DOI] [PubMed] [Google Scholar]
- Yahdjian L., Sala O.E., PiÑEiro‐Guerra J.M., Knapp A.K., Collins S.L., Phillips R.P., Smith M.D. (2021) Why coordinated distributed experiments should go global. Bioscience, 71, 918–927. [Google Scholar]
- Yu K., D'Odorico P., Novoa A., Collins S.L., Hartzell S., Huang H., Liu H., Weigelt P., Porporato A.M. (2024) Potential expansion of plants with crassulacean acid metabolism in the Anthropocene. Bioscience, 74, 478–487. [Google Scholar]
- Zhou S., Yu B. (2025) Reconciling the discrepancy in projected global dryland expansion in a warming world. Global Change Biology, 31, e70102. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1.
Fig. S1. Photos of drought treatment shelters at the experiment sites. (a) Granite Cove, (b) Molar Junction, (c) White Tank, (d) McDowell, (e) Sevilleta Mixed, and (f) Sevilleta Black.
Table S1. Mean annual precipitation and annual precipitation for the four treatment years for each of the six study sites. Annual precipitation defined as the precipitation from the 365 day prior to data collection.
Table S2. Results of RII for total vegetative cover, grass cover, forb cover, annual species cover, perennial species cover, species richness, species evenness, species gains, species losses, and rank change. Results are considered significant when the upper and lower boundary of the 95% confidence interval does not overlap 0. Significant results are bolded. NA denotes where not enough data were available to calculate RII. These results are visualized in Figs. 2 and 3.
Table S3. Model summaries of regressions of treatment over years of experiment with community metrics as the response variable (Metric column) for each site (Site column). Term column denotes model terms including the intercept, treatment, number of years of the experiment, and the interaction between treatment and experiment year. Estimate, standard error, degrees of freedom, and P‐values are reported respectively. Marginal R 2 (R 2m) and combined R 2 (R 2c) for each model are reported as well. Significant terms (P < 0.05) are bolded.
Table S4. Comparison of changes from pretreatment to year four between drought and control plots at each site. Positive estimate values mean that richness and evenness changed more positively in drought treatment plots and that rank abundance changed more in drought treatment plots than in control plots. Therefore, estimates for richness and evenness change could be positive even if those values decreased from pretreatment to year four as long as they decreased less in drought treatment plots than control plots. Bolded values indicate that change for drought and treatment plots was significantly different (P < 0.05) for the given site.
Table S5. Results of regression models testing the relationship between seasonal precipitation and community metrics. Metric column denotes which of three metrics was used as the response variable: total vegetative cover, species richness (SR), and species evenness. R 2m denotes the marginal R 2 of the mixed effects model and R 2c denotes the combined R 2.
